SaC3

Summer School and Workshop on Optimization and Operator Learning

As event of SaC3 we organize a summer school and conference at the Universidad Nacional de Trujillo in Trujillo, Peru. School and workshop will take place from February 24 to 27, 2026. The summer school will be preceded by a pre-school on February 20 and 23, in which basic concepts will be taught and which will serve to deepen the knowledge of programming with Python.

This is a first prelimindary announcement. Details follows soon.

Trujillo 2014
Summer school in Trujillo, Peru, 2014. Eigenens Bild.

Date and location

Universidad Nacional de Trujillo, Trujillo, Peru
February, 2026

Venue

The school will be held in at the Universidad National de Trujillo.

Contents

The main topics of the school include mathematical optimization and the theory of learning operators using methods of machine learning. A group of lecturers, all experts in these fields, will give introductions.

In the afternoon sessions we will go into detail and learn how to apply the methods in simple Python projects. These Python courses are aimed at students with some prior knowledge of Python.

During the last days of the week we will go over to a workshop character. Experts will present their research in the field of mathematical epidemiology. A call for papers for your contributions of posters and talks will be announced.

Pre-School

We will organize a short pre-school with an introduction to numerical linear algebra and scientific computing using Python.

Organizers

Local organizers from Universidad Nacional de Trujillo

Responsible Lecturers for the Summer School

Responsible Lecturers for the Preschool

Preliminary Schedule of the Pre-School

Friday, Feburary 20

09:00 – 09:30: Registration and Opening
09:30 – 11:00: Theoretical
11:00 – 11:30: Coffee Break
11:30 – 12:30: Theoretical
12:30 – 14:00: Lunch Break
14:00 – 15:30: Python
15:30 – 16:00: Coffee Break
16:00 – 17:00: Allocation of Weekend-Tasks
Weekend
Individual Work on the Tasks
Monday, February 23
09:00 – 10:30: Theoretical
10:30 – 11:00: Coffee Break
11:00 – 12:30: Theoretical
12:30 – 14:00: Lunch Break
14:00 – 15:30: Python
15:30 – 16:00: Coffee Break
16:00 – 17:00: Python (cont.)
18:00 – 21:00: Presentation of Tasks and Reception for Summer School

Preliminary Schedule of the Summer-School and Workshop

Tuesday, February 24
08:00 – 09:00: Registration
09:00 – 09:30: Opening
09:30 – 10:45: Course I
10:45 – 11:15: Coffee Break
11:15 – 12:30: Course II
12:30 – 14:00: Lunch Break
14:00 – 15:30: Exercise
15:30 – 16:00: Coffee Break
16:00 – 17:30: Exercise
Wednesday, February 25
09:00 – 10:30: Course I
10:30 – 11:00: Coffee Break
11:00 – 12:30: Course II
12:30 – 14:00: Lunch Break
14:00 – 15:30: Exercise
15:30 – 18:30: Excursion
19:00 – 22:00: Dinner
Thursday, February 26
09:00 – 10:30: Course I
10:30 – 11:00: Coffee Break
11:00 – 12:30: Course III
12:30 – 14:00: Lunch Break
14:00 – 15:30: Course III
15:30 – 16:00: Coffee Break
16:00 – 17:30: Exercise
Friday, February 27
10:00 – 16:00: Workshop (Details to follow)

Python classes

The Python exercises will be carried on using its powerful ecosystem of scientific computing libraries, including:

  • NumPy: For numerical computations and array operations.
  • SciPy: For scientific computations, including ODE solvers.
  • PyTorch: For machine learning.
Using JupyterLab for Programming

Throughout this course, we will use JupyterLab as a programming tool. JupyterLab provides an interactive environment for writing and running Python code. We highly recommend installing it in your Python environment. Please, follow the installation instructions of the official JupyterLab website.

Registration and call for papers

Coming soon

Contact

Thomas Richer at Otto von Guericke University Magdeburg thomas.richter@ovgu.de.

Last Modification: 2025-10-14 - Contact Person: thomas.richter@ovgu.de - Impressum
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SaC3 is a DAAD funded project between several universities from Germany and Latin America. The spokesperson of the consortium is Thomas Richter at the Otto von Guericke University Magdeburg.

You reach us best by mail thomas.richter@ovgu.de.

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